Abstract
Visualization of high density streaming points has become a challenge in information exploration. In this paper, we present a new pipeline for the interactive visualization of large points set. The pipeline is based on the idea that heat-map can overcome the overlapping problem in visualization of high density streaming points. Thus, we firstly define a regular streaming format for large point set which can be updated or changed continually. Based on streaming points, we use kernel density estimation to estimate the point distribution and visualize the density image. Perceptive and interactive features are also considered in our visualization. To our knowledge, our pipeline is the first work that focuses on perceptive visualization of high density streaming points. The main step of our pipeline is accelerated via GPU rendering in order to make scene of real-time interaction in visualization. We demonstrate the visual effectiveness of our pipeline on a geographical dataset of high-density streaming points.
Original language | English |
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Title of host publication | Proceedings of 2014 International Conference on Smart Computing, SMARTCOMP 2014 |
Publisher | IEEE |
Pages | 145-149 |
Number of pages | 5 |
ISBN (Electronic) | 9781479957118 |
DOIs | |
Publication status | Published - 17 Feb 2014 |
Event | 2014 1st International Conference on Smart Computing, SMARTCOMP 2014 - Hong Kong, Hong Kong Duration: 3 Nov 2014 → 5 Nov 2014 |
Conference
Conference | 2014 1st International Conference on Smart Computing, SMARTCOMP 2014 |
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Country/Territory | Hong Kong |
City | Hong Kong |
Period | 3/11/14 → 5/11/14 |
Keywords
- heat-map
- information visualization
- large data
- streaming points
- visual interaction
ASJC Scopus subject areas
- General Computer Science